Instructions to use bazzaccosrl/twitter-roberta-large-emotion-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use bazzaccosrl/twitter-roberta-large-emotion-gguf with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf bazzaccosrl/twitter-roberta-large-emotion-gguf
# Run inference directly in the terminal:
llama cli -hf bazzaccosrl/twitter-roberta-large-emotion-gguf

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf bazzaccosrl/twitter-roberta-large-emotion-gguf
# Run inference directly in the terminal:
llama cli -hf bazzaccosrl/twitter-roberta-large-emotion-gguf

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf bazzaccosrl/twitter-roberta-large-emotion-gguf
# Run inference directly in the terminal:
./llama-cli -hf bazzaccosrl/twitter-roberta-large-emotion-gguf

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf bazzaccosrl/twitter-roberta-large-emotion-gguf
# Run inference directly in the terminal:
./build/bin/llama-cli -hf bazzaccosrl/twitter-roberta-large-emotion-gguf

Use Docker

docker model run hf.co/bazzaccosrl/twitter-roberta-large-emotion-gguf

LM Studio
Jan
Ollama
How to use bazzaccosrl/twitter-roberta-large-emotion-gguf with Ollama:
```
ollama run hf.co/bazzaccosrl/twitter-roberta-large-emotion-gguf
```

Unsloth Studio

How to use bazzaccosrl/twitter-roberta-large-emotion-gguf with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for bazzaccosrl/twitter-roberta-large-emotion-gguf to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for bazzaccosrl/twitter-roberta-large-emotion-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for bazzaccosrl/twitter-roberta-large-emotion-gguf to start chatting

Atomic Chat new
Docker Model Runner
How to use bazzaccosrl/twitter-roberta-large-emotion-gguf with Docker Model Runner:
```
docker model run hf.co/bazzaccosrl/twitter-roberta-large-emotion-gguf
```

Lemonade

How to use bazzaccosrl/twitter-roberta-large-emotion-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull bazzaccosrl/twitter-roberta-large-emotion-gguf

Run and chat with the model

lemonade run user.twitter-roberta-large-emotion-gguf-{{QUANT_TAG}}

List all available models

lemonade list

`twitter-roberta-emotion-gguf`

This repository hosts the GGUF version of the cardiffnlp/twitter-roberta-large-emotion-latest model.

This model is a RoBERTa-based transformer fine-tuned for emotion classification on Twitter data. The GGUF format enables efficient inference on various hardware, especially CPUs, using tools like llama.cpp and Ollama.

How to Use

You can use this model with Ollama... TODO

Downloads last month: 5

GGUF

Model size

0.4B params

Architecture

bert

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

Model tree for bazzaccosrl/twitter-roberta-large-emotion-gguf

Base model

cardiffnlp/twitter-roberta-base-emotion

Quantized

(1)

this model